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Security Scan Report: wwwda57shop.bdhy13.workers.dev

Redirected to:
https://api.whatsapp.com/send/?phone=447880702596&text&type=phone_numb...
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Submitted: Jun 15, 2026, 11:38:06 AMCompleted: Jun 15, 2026, 11:39:16 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is api.whatsapp.com and was registered NaN years ago.

Submitted URL: https://wwwda57shop.bdhy13.workers.dev/

Effective URL: https://api.whatsapp.com/send/?phone=447880702596&text&type=phone_number&app_absent=0Redirected

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The page mimics WhatsApp branding on an unknown-age workers.dev subdomain without collecting credentials; moderate risk due to brand impersonation.

Risk Factors
Brand impersonation (brand mismatch)
Unknown subdomain age on hosting platform
Domain is unranked in Cisco Umbrella
Safety Factors
No forms collecting credentials or payment data
No malicious JavaScript or network exfiltration observed
Redirect points to legitimate WhatsApp API endpoint
Domain age information unavailable

Details

Page Title

Share on WhatsApp

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(83%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'wwwda57shop.bdhy13.workers.dev' is registered; it also runs on subdomain 'wwwda57shop.bdhy13'. The core label 'workers' covers 7 characters split between two vowels and 5 consonants. Word splitting yields 1 word: workers. Average segment length settles at seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wwwda57shop.bdhy13.workers.dev/

Page Load Overview

2.12s
Total Load Time
29
HTTP Requests
4
Domains
1.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,775 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network83% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
83%
download file sharing
77%
technology software
75%
documentation technical
66%
corporate business
65%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15104.21.77.150United States
AS13335Cloudflare, Inc.
14157.240.0.60Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
292--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10A142A729278D871081B27E5C631B315E4AB537FCF9867F0D0A9DF70A686CB8390359A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:CAfitiYfit9gbteFuc+2016fiI5zwAPCfBYyrixSA2xQMRda7tjeErzmY0Cz46jF:cmkJfpC5jPWpuypkjvrTmaFkt9Nuz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:194111:hRorAEFZA7VkSgoBP8BJISvgCEMGMJAAAw0gpoAEiKjQckgrlEegADAsJAhkMsYBDw4CFMJU0AI1QgKCsqZJjZAUALKNkMJQ

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ffffffffff000000
Perceptual Hash:e3f442dcd050f2f2
Difference Hash:840c0c0c00c1d1d9
Wavelet Hash:f6e7e7e7ff000000
Color Hash:#796ce0

Other Hashes

Crop Resistant:840c0c0c00c1d1d9,4121d9c129d1d1cd

Scan History

Scan history not available

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